feat: add RecipeCreate/Update/Read schemas with canonical ingredient refs

backend/app/schemas/recipe.py

@@ -0,0 +1,75 @@
+from __future__ import annotations
+
+from decimal import Decimal
+from typing import List, Optional
+from uuid import UUID
+
+from pydantic import BaseModel, Field, field_validator
+
+
+class RecipeIngredientRef(BaseModel):
+    ingredient_id: UUID
+    qty: float = Field(gt=0)
+    unit: Optional[str] = Field(default=None, max_length=50)
+    notes: Optional[str] = None
+
+
+class RecipeBase(BaseModel):
+    name: str = Field(min_length=1, max_length=300)
+    description: Optional[str] = None
+    image_url: Optional[str] = None
+    prep_time_minutes: int = Field(ge=0)
+    cook_time_minutes: int = Field(ge=0)
+    servings: int = Field(gt=0)
+    cuisine_tags: List[str] = Field(default_factory=list)
+    dietary_tags: List[str] = Field(default_factory=list)
+    protein_type: str = Field(min_length=1, max_length=50)
+    spice_level: Optional[int] = Field(default=None, ge=0, le=5)
+    calories_per_serving: Optional[int] = Field(default=None, ge=0)
+    ingredients: List[RecipeIngredientRef] = Field(min_length=1)
+    instructions: List[str] = Field(min_length=1)
+    source_url: Optional[str] = None
+
+
+class RecipeCreate(RecipeBase):
+    pass
+
+
+class RecipeUpdate(BaseModel):
+    name: Optional[str] = None
+    description: Optional[str] = None
+    image_url: Optional[str] = None
+    prep_time_minutes: Optional[int] = Field(default=None, ge=0)
+    cook_time_minutes: Optional[int] = Field(default=None, ge=0)
+    servings: Optional[int] = Field(default=None, gt=0)
+    cuisine_tags: Optional[List[str]] = None
+    dietary_tags: Optional[List[str]] = None
+    protein_type: Optional[str] = None
+    spice_level: Optional[int] = None
+    calories_per_serving: Optional[int] = None
+    ingredients: Optional[List[RecipeIngredientRef]] = None
+    instructions: Optional[List[str]] = None
+
+
+class RecipeRead(RecipeBase):
+    id: UUID
+
+    model_config = {"from_attributes": True}
+
+
+class ResolveIngredientRequest(BaseModel):
+    text: str = Field(min_length=1)
+
+
+class ResolveIngredientCandidate(BaseModel):
+    ingredient_id: UUID
+    name: str
+    score: float
+    aisle: Optional[str] = None
+
+
+class ResolveIngredientResponse(BaseModel):
+    parsed_qty: Optional[float] = None
+    parsed_unit: Optional[str] = None
+    parsed_text: str
+    candidates: List[ResolveIngredientCandidate]

backend/tests/test_recipe_schema.py

@@ -0,0 +1,41 @@
+from uuid import uuid4
+
+import pytest
+from pydantic import ValidationError
+
+from app.schemas.recipe import RecipeCreate, RecipeIngredientRef, ResolveIngredientRequest
+
+
+def test_recipe_create_requires_canonical_ingredient_ids() -> None:
+    iid = uuid4()
+    payload = RecipeCreate(
+        name="Sheet-Pan Chicken Thighs",
+        servings=4,
+        prep_time_minutes=10,
+        cook_time_minutes=30,
+        cuisine_tags=["american"],
+        protein_type="chicken",
+        ingredients=[RecipeIngredientRef(ingredient_id=iid, qty=2.0, unit="lb")],
+        instructions=["Preheat oven", "Roast"],
+    )
+    assert payload.ingredients[0].ingredient_id == iid
+    assert payload.servings == 4
+
+
+def test_recipe_create_rejects_empty_ingredients() -> None:
+    with pytest.raises(ValidationError):
+        RecipeCreate(
+            name="Empty",
+            servings=4,
+            prep_time_minutes=5,
+            cook_time_minutes=5,
+            cuisine_tags=[],
+            protein_type="vegetarian",
+            ingredients=[],
+            instructions=["nope"],
+        )
+
+
+def test_resolve_ingredient_request_round_trip() -> None:
+    req = ResolveIngredientRequest(text="1 lb chicken thighs")
+    assert req.text == "1 lb chicken thighs"